Sat.Jul 18, 2020 - Fri.Jul 24, 2020

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What People Don't Tell You About Being a Data Scientist

Dataiku

This is a guest blog post by Dataquest, an online learning platform that teaches data science skills, by helping students to work with real datasets. There’s been a lot of hype around the data scientist role in recent years and it’s definitely true that there’s a lot to get excited about -- high-paying salaries, growing demand, the potential for interesting work, and did I mention high-paying salaries?

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Transfer Learning for NLP: Fine-Tuning BERT for Text Classification

Analytics Vidhya

Introduction With the advancement in deep learning, neural network architectures like recurrent neural networks (RNN and LSTM) and convolutional neural networks (CNN) have shown. The post Transfer Learning for NLP: Fine-Tuning BERT for Text Classification appeared first on Analytics Vidhya.

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InMoment - Showcasing Return on Customer Experience Investment (ROXI)

Corinium

This is an adapted excerpt from InMoment’s new eBook “Evolving Your Customer Experience Program”. Download here. Even though it’s generally understood that experience management programs help businesses to be more efficient, profitable, and higher performing, customer experience (CX) professionals are consistently challenged to prove the economic impact of their programs.

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AI, Protests, and Justice

O'Reilly on Data

Largely on the impetus of the Black Lives Matter movement, the public’s response to the murder of George Floyd, and the subsequent demonstrations, we’ve seen increased concern about the use of facial identification in policing. First, in a highly publicized wave of announcements, IBM, Microsoft, and Amazon have announced that they will not sell face recognition technology to police forces.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Four Steps to Building a Data-Driven Culture

erwin

Fostering organizational support for a data-driven culture might require a change in the organization’s culture. But how? Recently, I co-hosted a webinar with our client E.ON , a global energy company that reinvented how it conducts business from branding to customer engagement – with data as the conduit. There’s no doubt E.ON, based in Essen, Germany, has established one of the most comprehensive and successful data governance programs in modern business.

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How to Train an Image Classification Model in PyTorch and TensorFlow

Analytics Vidhya

Overview Get an overview of PyTorch and TensorFlow Learn to build a Convolutional Neural Network (CNN) model in PyTorch to solve an Image Classification. The post How to Train an Image Classification Model in PyTorch and TensorFlow appeared first on Analytics Vidhya.

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Top Machine Learning Algorithms, Frameworks, Tools and Products Used by Data Scientists

Business Over Broadway

A recent survey by Kaggle revealed that data professionals used a variety of different algorithms, tools, frameworks and products to extract insights. Top algorithms were linear/logistic regression, decision trees/random forests and Gradient Boosting Machines. Top frameworks were Scikit-learn and TensorFlow. Top tools for automation were related to model selection and data augmentation.

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5 Tips For IT Engineers to Avoid Multitasking

FineReport

In today’s fast-paced technological environment, everyone’s focus is often on the concept such as “data middle-platform”, “data warehouse”, and so on. Many people often overlook the basis of company operations: reports. Although the technical content of this work is not high, it often takes a lot of time, and the final result is often thankless.

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Understanding and coding Neural Networks From Scratch in Python and R

Analytics Vidhya

Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most. The post Understanding and coding Neural Networks From Scratch in Python and R appeared first on Analytics Vidhya.

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Power BI External Tools: Reading the Tea Leaves

Paul Turley

This week, Christian Wade from Microsoft announced on the Microsoft Power BI blog that a new ribbon "External Tools" was added to the preview features of Power BI Desktop in the July update. In earlier posts, Christian has promoted community developed tools such as Tabular Editor, DAX Studio and the ALM Toolkit that can be used as replacements or extensions to the Power BI development experience.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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From Triage to Recovery: The New F&A Journey

Jet Global

The COVID-19 crisis has catapulted many businesses into triage mode, with finance and accounting teams scrambling to shore up company finances in the face of an economic downturn. Government assistance in the form of Paycheck Protection Program (PPP) loans, the Main Street Lending Program, and other initiatives have been a lifeline for most small and mid-sized businesses.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 11: The Impact of COVID-19 on Consumer Packaged Goods Industry

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 11: The Impact of COVID-19 on Consumer Packaged Goods. Industry. Listening time: 12 minutes. The Impact of COVID-19 on Consumer Packaged Goods Industry. In this episode of the AI to Impact podcast, Consumer Packaged Goods (CPG) expert and industry veteran, Mukesh Saharan, discusses the aftereffects of COVID-19 on the industry.

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10 Techniques to deal with Imbalanced Classes in Machine Learning

Analytics Vidhya

Overview Get familiar with class imbalance Understand various techniques to treat imbalanced classes such as- Random under-sampling Random over-sampling NearMiss You can check the. The post 10 Techniques to deal with Imbalanced Classes in Machine Learning appeared first on Analytics Vidhya.

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Are you building AI that your customers will trust?

IBM Big Data Hub

In the current business climate, digital transformation is imperative. Across every industry, organizations are building and scaling AI to create new ways of doing business. But businesses face some common challenges in their journey to AI, including talent scarcity, data complexity, and a lack of trust in AI systems.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Effecting Change With Nuveen’s Data-Driven Responsible Investing Initiative

Bruno Aziza

The demand for responsible investing initiatives, that integrate environmental, social and governance (ESG) factors into analysis and decision making, have seen a remarkable rise over the past several years.

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The Real BI Trends in 2020: What 2,865 BI Professionals Think

BI-Survey

The post The Real BI Trends in 2020: What 2,865 BI Professionals Think appeared first on BI Survey.

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24 Commonly used SQL Functions for Data Analysis tasks

Analytics Vidhya

Introduction Anything and everything related to data in the 21st century have become of prime relevance. And one of the key skills for any. The post 24 Commonly used SQL Functions for Data Analysis tasks appeared first on Analytics Vidhya.

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Dissecting the Transformer

Dataiku

We saw how attention works and how it improved neural machine translation systems (see the previous blog post ), we are going to unveil the secrets behind the power of the most famous NLP models nowadays (a.k.a BERT and friends), the Transformer. In this second part, we are going to dive into the details of this architecture with the aim of getting a solid understanding of how its different components operate and interact.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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5 Tips to Manage Cash Flow Pressures

Jet Global

In 2020, businesses around the globe are watching cash more closely than ever. Cash flow is the lifeblood of every business, so there is good reason to keep a watchful eye on liquidity in the current environment. The arrival of the coronavirus brought a level of disruption that many people have never seen before in their lifetimes. While the hope is that the worst of it is over, the road back to normalcy is likely to be long and potentially bumpy.

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Why You Need to Treat Models Like Data

Teradata

Models are crucial in creating business value and need to be handled with care. That's why models should be treated like data. Learn more.

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5 Exciting Computer Vision Applications With Relevant Datasets!

Analytics Vidhya

Overview Computer vision is the technology that allows the digital world to interact with the real world. Explore 5 of the hottest applications of. The post 5 Exciting Computer Vision Applications With Relevant Datasets! appeared first on Analytics Vidhya.

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From Promises to Frustration: Diagnosis of the Cultural Constraints Limiting Data Science and AI Adoption at Scale

Dataiku

This is a guest post from our friends at SAEGUS. Founded at the end of 2014, SAEGUS allies the innovation ability of a start-up and the service level of a consulting firm, to put digital and data valuation at the core of its customers’ strategy. In addition to the founders’ experience gained from working with major French companies comes a multidisciplinary team of talents able to speak all languages of data: from business strategy to AI adoption, through data science expertise, MLOps, and data

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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The What, Why, When, and How of Incremental Loads

Tim Mitchell

When moving data in an extraction, transformation, and loading (ETL) process, the most efficient design pattern is to touch only the data you must, copying just the data that was newly added or modified since the last load was run. This pattern of incremental loads usually presents the least amount of risk, takes less time to run, and preserves the.

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Data Governance: Stay Non-Invasive in Your Approach

Alation

The post Data Governance: Stay Non-Invasive in Your Approach appeared first on Alation.

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MobileBERT: BERT for Resource-Limited Devices

Analytics Vidhya

Overview As the size of the NLP model increases into the hundreds of billions of parameters, so does the importance of being able to. The post MobileBERT: BERT for Resource-Limited Devices appeared first on Analytics Vidhya.

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Unsupervised Machine Learning: Use Cases & Examples

Dataiku

One of the most fundamental concepts to master when getting up to speed with machine learning basics is supervised vs. unsupervised learning. This blog post provides a brief rundown, visuals, and a few examples of unsupervised machine learning to take your ML knowledge to the next level.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Helping Clients One Transformation at a Time

CDW Research Hub

There are many words to describe 2020. “Transformation” is certainly toward the top of the list. Organizations have been called upon to transform and pivot faster than they ever have before. And here are some examples of how Sirius has helped. Repurposing appliances for remote access. One Sirius client had an employee who tested positive for COVID-19 on a Friday, forcing them to shut down their building and get 3,000 additional remote users online by Monday.

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I’ve got the latest tech – now I’m a data business, right?

Teradata

Without a data strategy, led from the top and encompassing the whole bank, tech investments run the risk of becoming expensive pet projects, driven by fads & siloed thinking.

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When Maverick Research (on Data Privacy) Becomes Real Actionable

Andrew White

Our Maverick Research program is a vehicle to provide a path for analysts to develop ideas that are, shall we say, a little iffy. What I mean to say is that we explore the edges of current research and peer into the future and often promote a point of view where our underlying data is less proven. Many times such Maverick research is edge, thought-provoking and so on.

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Powerful SAP Reporting Doesn’t Require IT Involvement

Jet Global

SAP reporting works like a map through the forest. When companies have an overwhelming amount of data with which to contend, moving quickly in all directions, reporting offers a kind of guidance. It tells decision-makers how to proceed based on the broadest and deepest analysis possible. In good times and especially in unprecedented times like these—when a pandemic throws every precedent and assumption out the window—companies need powerful SAP reporting more than ever.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.